Anthropic gave Claude the ability to control physical lab equipment like microscopes, robotic arms, liquid handlers, lasers.

The results are wild:

– QuEra had Claude fix quantum computer lasers overnight, unsupervised. A fix that took human experts 5-10 minutes, Claude got down to 6 seconds. Success rate: 58% → 99.3%.

– Genentech had Claude self-optimize lab pipetting by scoring its own results against expert baselines, and converged on the right settings on its own.

– A university lab went from manual 4 am plate-swapping to Claude Code running the whole workflow hands-free.

– Claude even ran qPCR experiments that helped detect human sewage contamination in a California creek.

Automated science labs are closer than most people think.

Jensen Huang just rejected Bill Gates' AI warning on live TV.

The Nvidia CEO says he's "in favor of taxes" but shot down the Microsoft co-founder's plan to tax AI tokens.

"I love the heck out of Bill, but I don't see what he sees."

🎓 MIT warns: AI can now do most college assignments

MIT researchers warn that modern AI can now credibly complete most undergraduate assignments, from essays and research tasks to technical problem sets and other coursework.

The work can look good enough to pass as a student’s own.

That creates a huge problem for universities. If an AI can complete the assignment without breaking a sweat, a high grade may no longer tell professors whether a student actually understands the material.

MIT says universities may need to rethink how they assess students, potentially shifting toward oral exams, in-person work, portfolios and other ways of testing genuine understanding.

Source.

Elon Musk: “America is 1,000% going to go bankrupt and fail as a country without AI and robotics”

The U.S. is already paying over $1 trillion a year just in interest on the national debt. The only real escape is enormous productivity growth

AI → intelligence at near-zero marginal cost
Robots → physical labor at massive scale

Together they can dramatically increase economic output, lower the cost of goods and services and expand the tax base

The race is basically: Can we build AI + robotics fast enough to unlock abundance before the debt becomes impossible to outrun?

Me with $20 plan 🥲

Dyson just released a new AI-powered toothbrush with an integrated 100,000-pixel macro lens camera for $499.

Size matters…...🙈

Astra accelerated OpenAI by six months

GPT-6 Astra may already be changing OpenAI from the inside, before most people have even touched it.

According to Tibo Sottile, OpenAI’s head of core products, Astra has given the company’s teams a major productivity boost.

OpenAI is reportedly pulling some projects forward by around six months. Things that were supposed to arrive in the middle of next year could now be unveiled as early as DevDay.

Sottile went even further, calling Astra “probably OpenAI’s biggest competitive advantage” and that’s before its public launch.

Source.

OpenAI Cofounder says emotions may be why we can make decisions

Ilya brings up a guy who lost emotional processing after brain damage. He could still talk normally and solve problems, but somehow became terrible at making basic decisions.

"It would take him hours to decide on which socks to wear."

🇯🇵 Japan is building AI satellites that could guide missiles

The country’s Defense Ministry is planning AI-equipped satellites capable of processing surveillance data directly in space, identifying potential enemy positions and predicting the movement of targets such as ships. These satellites won’t actually be doing the surveillance.

Instead, they’ll receive data collected by other satellites, analyze it onboard and send the processed targeting information directly to command centers on the ground.

That could dramatically reduce the time between detecting a target and acting on the information.

Japan is also exploring a system that could provide real-time targeting updates to long-range missiles after they’ve already been launched, potentially allowing them to adjust to moving targets and improve accuracy.

Prototype development is planned for FY2027–2029, with space testing expected to begin from FY2030 onward.

AI intelligence is getting cheaper and usage is exploding

AI is getting dramatically cheaper to use, and people are starting to use a lot more of it. According to OpenRouter, AI token usage jumped 25× in a year and reportedly doubled in just one month.

For example, Gemini 3.8 Flash reportedly scores 59 on Artificial Analysis’ Intelligence Index versus 66 for Claude Fable 5.1, while costing about $0.58 vs. $3.69 per benchmark task.

That’s roughly 90% of the performance for less than one-sixth of the cost.

GPT-5.6 Luna reportedly processed nearly 12 trillion tokens in a single month, while Z-AI’s GLM 5.3 Flash reached 11.4 trillion.

GLM 5.3 Flash also reportedly saw usage grow by more than 1,000% month-over-month.

As intelligence becomes cheaper, it becomes easier to put it everywhere, into apps, businesses, devices, workflows and eventually almost every part of daily life. Cheap intelligence could be the thing that makes AI truly ubiquitous.

Source.

Unitree releases its 1st world model-powered autonomous humanoid robot combat video.

UnifoLM-X2-1.0 replaces the human pilot in humanoid fighting with real-time prediction and planning.

A very meaningful jump from Unitree's existing G1-Boxing setup, becuase here, a world model predicts how physical interactions may unfold before the robot acts, giving its policy a forecast against which to choose actions.

For fighting and many more practical situations, latency becomes so critical as any useful plan must update quickly when an opponent moves, strikes, or disrupts the robot's balance.

Unitree says X2-1.0 can run that loop in real time.

Jensen Huang: I’m not asking AI to think for me.

I’m asking it to teach me things I don’t know or help me solve problems I otherwise wouldn’t reasonably be able to solve.

“Don’t use it as a crutch for things you can do.”

“The idea of prompting an AI, the idea of asking questions, is a highly cognitive skill.”

“As a CEO, I spend most of my time asking questions.”

“When you receive an answer from an AI, I wouldn’t just receive it.”

“I usually say: are you sure this is the best answer you can provide?”

“I take the answer from one AI, give it to another AI, and ask them to critique it.”

“I ask the same question of multiple AIs, ask them to compare each other’s notes, and then give me the best of all the answers.”

“That process of critiquing and criticizing the answers, critical thinking enhances cognitive skills.”

I would advise people to apply critical thinking.

AI consciousness may finally be testable

For decades, AI consciousness was mostly a philosophical debate. There was no clear way to test whether a machine was actually experiencing anything.

Now researchers have proposed MEM, Motivated Emotional Mind, a mathematical and architectural framework designed to make machine consciousness a falsifiable hypothesis.

The framework argues that language fluency, multimodality, memory, planning or even a humanoid body aren’t enough to establish consciousness.

Instead, researchers should look for specific architectural and causal properties that can be experimentally tested and potentially disproven.

That could become crucial as AI systems become increasingly convincing and millions of people form emotional relationships with them.

We may soon have to answer a strange question: is there actually a mind behind the machine, or are we simply watching an incredibly convincing simulation?

Source.

Iranian documentary filmmaker Javad Gharaei released footage he says shows the moment an Iranian pilot was found after his Yak-130 jet was shot down by an Israeli F-35 during the 40-day war.

The pilot had ejected over the mountains of Lavasan, northeast of Tehran.

🇨🇳 China’s young generation is losing faith in the promise of hard work

For decades, millions of Chinese families believed the formula was simple: study hard, get a good job, buy a home, and build a better life than your parents. Now, that promise is becoming harder to keep.

According to The Wall Street Journal, China’s young people are facing a brutal combination of unemployment, layoffs, falling wages and rising financial pressure.

The numbers paint a troubling picture. Youth unemployment among 16–24-year-olds has approached 19%, while unemployment among those aged 25–29 stands at 7.5%. Meanwhile, a record 12.7 million university graduates entered the job market this year, competing for opportunities in an economy already under pressure.

The property crisis has wiped out jobs across construction and real estate, while major technology companies, including Alibaba and ByteDance, have reportedly been cutting staff. Even a university degree no longer guarantees a secure start to a career.

And AI could make the situation worse.

According to the WSJ, some major Chinese employers privately estimate that AI could eliminate 30% or more of their current jobs. Research analyzing hundreds of millions of job postings has also pointed to declining demand for workers with just one to three years of experience.

That creates a dangerous cycle: companies need fewer entry-level workers, graduates struggle to get their first jobs, and those who do find work increasingly turn to temporary or gig-based employment.

The consequences extend far beyond the workplace. Young people are delaying marriage, having fewer children and moving back in with their parents because they cannot afford independent lives. Others are abandoning traditional career ambitions altogether.

For China, this is more than an employment problem. When young people lack stable incomes, they spend less, postpone major life decisions and become less likely to buy homes, putting even more pressure on an economy already struggling with its property crisis.

The deeper problem is a broken expectation. An entire generation was taught that education and hard work would lead to financial security. Now, many are discovering that the old rules may no longer apply.

A hacker cracked open a Samsung TV and says an AI inside tracks what you watch

A bug bounty hunter who goes by log4j kept getting oddly specific ads on a 2025 Samsung TV. The firmware was encrypted, so they used zero-day bugs to take full control of the set and posted the findings this week.

They say it runs a small AI model that follows what you watch in apps like YouTube, which ads you skip and how far into a video you get. The TV also processes screenshots and classifies the sounds it hears, like a dog barking or a baby crying, before reporting to Samsung. TVs without a mic look for one on a connected soundbar or Bluetooth device, they say.

Then OpenAI deactivated their account for "Cyber Abuse." log4j says they only used it for local reverse engineering and lost about $500.

Nothing is independently confirmed yet and the full write-up is still coming, Tom's Hardware reports. A Hugging Face engineer testing a rooted TV saw the mic open for 5 seconds, then stay off for hours.